{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5EE7TSSMAYNEKEXHKCG3UCMFR4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ef01c5d24527630aeeda0d388006cc9ca3b174cdc583a466db09b43a64d63f2f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T17:34:06Z","title_canon_sha256":"0e78c1c3a4b6894a753aaeefc951b7d2d6881a8c7aa971c2185abc613bdaf134"},"schema_version":"1.0","source":{"id":"2505.20256","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20256","created_at":"2026-07-05T11:09:55Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20256v1","created_at":"2026-07-05T11:09:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20256","created_at":"2026-07-05T11:09:55Z"},{"alias_kind":"pith_short_12","alias_value":"5EE7TSSMAYNE","created_at":"2026-07-05T11:09:55Z"},{"alias_kind":"pith_short_16","alias_value":"5EE7TSSMAYNEKEXH","created_at":"2026-07-05T11:09:55Z"},{"alias_kind":"pith_short_8","alias_value":"5EE7TSSM","created_at":"2026-07-05T11:09:55Z"}],"graph_snapshots":[{"event_id":"sha256:38b8db2ac56263fa9deda5a9f4414c54051a91c5fe6d0e05f4474852c0d63e0c","target":"graph","created_at":"2026-07-05T11:09:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.20256/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long-horizon video-audio reasoning and fine-grained pixel understanding impose conflicting requirements on omnimodal models: dense temporal coverage demands many low-resolution frames, whereas precise grounding calls for high-resolution inputs. We tackle this trade-off with a two-system architecture: a Global Reasoning System selects informative keyframes and rewrites the task at low spatial cost, while a Detail Understanding System performs pixel-level grounding on the selected high-resolution snippets. Because ``optimal'' keyframe selection and reformulation are ambiguous and hard to supervi","authors_text":"Canyu Zhao, Chunhua Shen, Hao Chen, Hao Zhong, Mingyu Liu, Muzhi Zhu, Wen Wang, Zheng Huang, Zongze Du","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T17:34:06Z","title":"Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20256","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e9c6b98aec65af0ec166395fcd437ff451036e681a73381f29a1956f1044fbca","target":"record","created_at":"2026-07-05T11:09:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ef01c5d24527630aeeda0d388006cc9ca3b174cdc583a466db09b43a64d63f2f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-26T17:34:06Z","title_canon_sha256":"0e78c1c3a4b6894a753aaeefc951b7d2d6881a8c7aa971c2185abc613bdaf134"},"schema_version":"1.0","source":{"id":"2505.20256","kind":"arxiv","version":1}},"canonical_sha256":"e909f9ca4c061a4512e7508dba09858f3e2f1c6d1f063844242419bb341caad9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e909f9ca4c061a4512e7508dba09858f3e2f1c6d1f063844242419bb341caad9","first_computed_at":"2026-07-05T11:09:55.240814Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:55.240814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LyU+b/AaR4pIiEGVUSGJzWFFg3onm7kMP/YLVNQ1BVKf8rAY9wIPRlNgChsSBRZpiUeugSGZOGz9KmDA+N1zBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:55.241332Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.20256","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9c6b98aec65af0ec166395fcd437ff451036e681a73381f29a1956f1044fbca","sha256:38b8db2ac56263fa9deda5a9f4414c54051a91c5fe6d0e05f4474852c0d63e0c"],"state_sha256":"c222e9ab4165be1919c6dadb68165f81ddf0246dd4be06d4eb344c08d9ae7550"}